Build and maintain end-to-end deployment pipelines for AI-powered applications, including artifact builds, environment promotion, rollback, and observability hooks.
Stand up and operate the runtime and lifecycle infrastructure for production agents, including deployment, versioning, monitoring, rate-limiting, and retirement.
Design and build the shared developer harness that every AI-powered service uses: prompt management, model routing, retries, tracing, eval hooks, and policy enforcement.
Own reliability, latency, and performance for AI platform services and data infrastructure on AWS.
Design and maintain CI/CD pipelines, infrastructure-as-code, and observability frameworks across the stack.
Partner with AI and data engineers to ensure secure, cost-optimized, and scalable deployment of platform components.
HHAeXchange is the leading technology platform for home and community-based care, providing an end-to-end homecare solution for people who are aging or have disabilities. Founded in 2008, the company is passionate about transforming healthcare by connecting patients, providers, managed care organizations, and states.
Own the ML serving API and deploy models to production with CI/CD and infrastructure as code.
Build monitoring, alerting, and reliability for NBA models and LLM agents.
Drive architectural decisions and mentor engineers on MLOps patterns.
Clutch is a vertical SaaS company backed by Andreessen Horowitz, revolutionizing how credit unions engage with members via fintech lending software. The company is small and ambitious, with a lean data team of five that values pragmatism and fast shipping.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Design, build, and maintain AWS infrastructure including networking, IAM, compute, storage, and security.
Own Infrastructure as Code strategy using Pulumi and build reusable components to eliminate manual changes.
Build and maintain CI/CD pipelines and AI infrastructure for LLM workflows on Amazon Bedrock and SageMaker.
Givzey is a fast-growing technology company serving the nonprofit sector, on a mission to unlock more generosity through AI-powered donor engagement. In just three years, the platform has helped organizations raise $10M+ and is known for its innovative, mission-driven culture.
Design and maintain scalable ML infrastructure including data pipelines, training workflows, and model deployment systems.
Own end-to-end ML lifecycle operations, ensuring reliable delivery of models into production at scale.
Implement monitoring, telemetry, and feedback loops for ML models running across large-scale device fleets.
Our partner company develops ML systems for connected hardware products used by customers worldwide. They operate in a fast-paced, product-driven environment with a collaborative and technically ambitious culture focused on real-world ML impact.
Build production-grade AI systems that enhance organizational intelligence and operational efficiency.
Collaborate with cross-functional teams to turn ambiguous AI opportunities into safe, measurable product capabilities.
Design and maintain scalable backend services, data pipelines, and human-in-the-loop workflows.
Honor Technology changes how society cares for older adults by providing technology, tools, and services for in-home care. With a global franchise network and over 100,000 Care Pros, Honor delivers 50 million hours of personalized care annually, fostering a culture of compassion and innovation.
Design, build, and automate enterprise-grade AWS SageMaker environments to support scalable machine learning initiatives.
Develop and implement DevOps automation for SageMaker Unified Studio and related cloud infrastructure.
Build and optimize CI/CD pipelines for deploying custom Docker images, kernels, and machine learning workloads.
This role is listed on behalf of a partner company that builds and optimizes enterprise-scale machine learning infrastructure. They operate with a collaborative international team and modern engineering practices.
Design and deploy AI/ML and Generative AI models to drive operational efficiencies across VBC and RCM datasets.
Implement advanced architectures including LLMs, RAG, and agentic frameworks, and build end-to-end pipelines using Python, PySpark, or T-SQL.
Apply MLOps best practices and work with cloud platforms like GCP to ensure scalable and responsible AI deployments.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. The company is led by top industry talent and focuses on reducing healthcare costs through cloud-based technology and scalable operations.
Build AI platform and production systems supporting computer vision, perception, simulation, and mapping products.
Own critical parts of the AI platform, including orchestration, APIs, and deployment patterns.
Partner with data scientists and simulation engineers to reduce iteration friction and design production architecture.
HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes. The company is an equal opportunity employer with a focus on innovation and inclusion.
Design, build, and deploy AI/ML solutions from prototype to production for client business problems.
Apply generative AI and LLMs, establishing MLOps best practices including CI/CD and model monitoring.
Serve as a trusted technical advisor, translating ambiguous problems into well-scoped solutions and presenting to stakeholders.
DevIQ builds modern cloud and data solutions for mid-market companies focused on energy reduction, healthcare, education, and smart cities. The company offers competitive benefits, a strong team culture, and opportunities to work on end-to-end solutions with multi-disciplinary teams.
Lead operational excellence, reliability, and support of enterprise AI and data platforms, ensuring stability, scalability, and observability.
Design and implement automation, monitoring, and operational tooling for AI/ML platforms including Palantir Foundry, AWS Bedrock, and SageMaker.
Serve as a senior escalation point for complex production issues, driving root cause analysis and improving platform stability.
CSAA Insurance Group, a AAA insurer, offers personal lines of property and casualty insurance to AAA members across 23 states and DC. Founded in 1914, they are one of the top personal lines insurers in the US with over 3,800 employees, known for a values-based culture and recognition in leadership development and community involvement.
Design, build, and maintain scalable machine learning infrastructure on AWS, including training and deployment pipelines.
Develop and deploy ML models for recommendation systems, fraud detection, credit risk, and personalization use cases.
Implement monitoring, logging, and alerting systems to ensure model performance, stability, and reliability in production.
Our partner is a fast-growing, innovation-driven company where machine learning and AI systems directly power large-scale fintech and commerce experiences. They foster a highly dynamic environment with strong emphasis on experimentation, rapid iteration, and measurable business impact.
Collaborate with data scientists and engineers to build scalable ML pipelines, troubleshoot infrastructure issues from Linux to Kubernetes, and optimize model performance.
Drive high engineering standards, design on-premises MLOps solutions, and maintain tools for deployment and monitoring.
Refine CI/CD workflows, incorporate ML model training and evaluation into testing, and ensure seamless handover between research and production.
Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, focused on supercharging productivity and learning. The company supports high-growth businesses with centralized corporate operations and has a virtual-first culture with employees across multiple countries.
Build and manage AWS infrastructure, CI/CD pipelines, and ensure reliability, security, and cost optimization without an infrastructure team above you.
Work directly with stakeholders to shape architecture and product direction, shipping fast to learn or slowing down to fix the foundation.
Adopt the latest AI improvements to speed up how we build and ship, while collaborating with a remote-first team that meets regularly.
Cello is an AI-powered referral infrastructure company that helps SaaS companies turn users into a sales channel through sharing and recommendations, with APIs and widgets used by 10M+ end users monthly. Backed by $10.3M in funding from top-tier investors, the small team of serial founders and big-tech operators from Twilio, Wise, and Skype values active learning and innovation.
Own the US-only production environment end-to-end, including infrastructure deployment, maintenance, scaling, and reliability.
Lead and grow the US-based DevOps team, design scalable AWS infrastructure, and build CI/CD pipelines for safe, fast shipping.
Partner with engineering on application error investigations, improve monitoring and alerting, and coordinate with the Tel Aviv team on shared platform standards.
Zafran de-risks 90% of critical vulnerabilities overnight across hybrid environments using existing security tools. Backed by Sequoia Capital and Cyberstarts, it is one of the fastest-growing companies in cybersecurity, scaling to meet demand from advanced organizations.
Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows.
Develop backend services, APIs, and application architectures integrating AI capabilities into enterprise systems.
Deploy AI solutions with security, observability, monitoring, evaluation, and governance.
Aimpoint Digital is a data, AI, analytics, and operations research advisory and solution engineering firm that helps organizations design and deploy enterprise-grade AI platforms and production applications. The company is a technical partner focused on moving beyond experimentation, emphasizing strong engineering discipline and scalable architecture.
Design, build, and maintain production-grade AI systems and APIs that power our products.
Integrate and fine-tune models (LLMs, embeddings, or other ML architectures) for customer-facing and internal use cases.
Own the full lifecycle of AI features — from research and prototyping to productionization, deployment, and monitoring.
Tiny Health is advancing lifelong health through precision microbiome science, founded in 2020 by microbiome scientists and physicians. They are a small, remote-first startup with a high-performing team focused on experimentation and transparency.
Design and build production-grade AI systems including RAG pipelines, agentic workflows, and LLM integrations.
Own backend services, APIs, and data pipelines end-to-end with Python as the primary language.
Translate ambiguous client requirements into scoped technical decisions and delivery plans.
Provectus is a consulting and professional services firm specializing in AI and ML solutions, serving as an AWS Premier Consulting Partner and strategic partner of Anthropic. They build custom, production-grade AI for global enterprises and operate with a remote-first culture emphasizing autonomy and ownership.
Lead the technical vision and architectural strategy for cloud-native platforms and agentic AI capabilities.
Define and govern DevOps standards, including CI/CD pipeline design, GitOps, and deployment strategies.
Mentor engineers and drive architectural reviews to raise technical bar across teams.
Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across markets like financial services, healthcare, automotive, and insurance. They have an amazing team of 25,200 people in 32 countries with an inclusive, purpose-driven culture.